Cutting and Slicing Machine Setters, Operators, and Tenders

Review work orders, blueprints, specifications, or job samples to determine components, settings, and adjustments for cutting and slicing machines.

AI: Fully automatable - AI, CAM tools, and digital workflows can parse work orders, blueprints, and samples to determine machine components, settings, and adjustments and generate machine programs automatically.

Examine, measure, and weigh materials or products to verify conformance to specifications, using measuring devices, such as rulers, micrometers, or scales.

AI: Fully automatable - Automated inspection using machine vision, digital gauges, and scales can reliably measure and weigh products to verify conformance to specifications in many manufacturing contexts.

Press buttons, pull levers, or depress pedals to start and operate cutting and slicing machines.

AI: Fully automatable - Physical actuation tasks are easily automated either by replacing manual controls with electronic controls or by simple robotic actuators pressing buttons, levers, or pedals.

Feed stock into cutting machines, onto conveyors, or under cutting blades, by threading, guiding, pushing, or turning handwheels.

AI: Fully automatable - Robotic feeders, conveyors, and vision-guided manipulators routinely feed stock in standardized production environments, enabling full automation of this task.

Mark cutting lines or identifying information on stock, using marking pencils, rulers, or scribes.

AI: Fully automatable - Marking cutting lines and identification can be fully automated using CAD-driven CNC/robotic markers or vision-guided printers/lasers in typical production settings.

Stack and sort cut material for packaging, further processing, or shipping, according to types and sizes of material.

AI: Fully automatable - Vision-guided robots and automated conveyors can reliably sort and stack cut material by type and size for packaging or shipping in modern facilities.

Monitor operation of cutting or slicing machines to detect malfunctions or to determine whether supplies need replenishment.

AI: Fully automatable - Sensors combined with anomaly-detection models and monitoring software can continuously detect malfunctions and supply levels, supporting fully automated monitoring and alerts.

Remove completed materials or products from cutting or slicing machines, and stack or store them for additional processing.

AI: Fully automatable - Pick-and-place robots, conveyors, and automated storage systems can remove, stack, and store completed materials, making this task fully automatable.

Adjust machine controls to alter position, alignment, speed, or pressure.

AI: Fully automatable - Closed-loop control systems and digital actuators allow automated adjustment of position, alignment, speed, and pressure without human action in most machines.

Maintain production records, such as quantities, types, and dimensions of materials produced.

AI: Fully automatable - Production quantities, types, and dimensions can be captured automatically by sensors and MES/ERP software, so maintaining production records is fully automatable.

Start pumps to circulate water and abrasives onto blades or cables during cutting.

AI: Fully automatable - Starting and controlling pumps is routinely automated via PLCs and remote control systems that AI can schedule and manage fully.

Position stock along cutting lines, or against stops on beds of scoring or cutting machines.

AI: Fully automatable - Automated fixturing, servo-driven stops, and robotic positioning systems can accurately position stock along cutting lines in typical production setups.

Move stock or scrap to and from machines manually, or by using carts, handtrucks, or lift trucks.

AI: Fully automatable - Autonomous mobile robots, AGVs, and integrated material-handling systems can move stock and scrap to and from machines in most modern plants.

Turn cranks or press buttons to activate winches that move cars under sawing cables or saw frames.

AI: Fully automatable - Simple actuation (turning cranks or pressing buttons) can be replaced by motorized actuators or remote control systems under AI supervision.

Wash stones, using water hoses.

AI: Fully automatable - Washing parts with water hoses is a repetitive fluid-control task that can be fully automated with fixed nozzles or simple robotic systems.

Set up, operate, or tend machines that cut or slice materials, such as glass, stone, cork, rubber, tobacco, food, paper, or insulating material.

AI: Partial - While many cutting and slicing machines can be automated and tended by AI systems, setup, changeovers, and handling of diverse materials still frequently require human intervention, so capability is partial.

Start machines to verify setups, and make any necessary adjustments.

AI: Partial - AI and automated control systems can start machines and verify setups using sensors and diagnostics, but complex or novel setup adjustments still commonly require human intervention.

Operate cranes, or signal crane operators to position or remove stone from cars or saw beds.

AI: Partial - Crane operation and signaling can be partially automated or remotely assisted by AI and vision systems, but safe, context-sensitive handling of heavy stone still typically requires human oversight or operators.

Remove defective or substandard materials from machines, and readjust machine components so that products meet standards.

AI: Partial - Automated inspection can identify defective items and some closed-loop systems can self-correct, but many readjustments and root-cause fixes still require skilled human judgment.

Type instructions on computer keyboards, push buttons to activate computer programs, or manually set cutting guides, clamps, and knives.

AI: Partial - Typing and pushing digital controls can be fully automated, but the manual physical setting of cutting guides, clamps, and knives often still requires human intervention or specialized fixturing.

Change or replace saw blades, cables, cutter heads, and grinding wheels, using hand tools.

AI: Partial - Changing heavy blades and wheels can be automated in specialized cells, but the majority of on-site blade and wheel replacements using hand tools remain manual and require human skill.

Position width gauge blocks between blades, and level blades and insert wedges into frames to secure blades to frames.

AI: Partial - Precise positioning, leveling, and wedging of blades is sometimes automated in controlled environments, but the fine tactile adjustments and variability make it largely a human task in most workplaces.

Select and install machine components, such as cutting blades, rollers, and templates, according to specifications, using hand tools.

AI: Partial - AI can recommend components and in some controlled factories robots can install parts, but selecting and installing components with hand tools in varied, unstructured settings still requires human dexterity and on-site judgment.

Direct workers on cutting teams.

AI: Partial - AI can generate schedules, instructions, and real-time guidance, but directing and managing cutting teams requires interpersonal judgment and accountability that AI cannot fully assume as of 2025.

Sharpen cutting blades, knives, or saws, using files, bench grinders, or honing stones.

AI: Partial - Automated sharpening machines can fully sharpen many tools, yet hand sharpening with files, bench grinders, or stones for varied or specialty blades still commonly requires skilled human operators.

Tighten pulleys or add abrasives to maintain cutting speeds.

AI: Partial - Tightening pulleys and adding abrasives involves manual maintenance and variable physical tasks that some automated feeders/torque tools can handle but many contexts still require human intervention.

Cut stock manually to prepare for machine cutting, using tools such as knives, cleavers, handsaws, or hammers and chisels.

AI: Partial - Manual stock cutting with diverse hand tools and irregular materials is partially automatable with specialized robotics but remains challenging in unstructured situations.

Clean and lubricate cutting machines, conveyors, blades, saws, or knives, using steam hoses, scrapers, brushes, or oil cans.

AI: Partial - Automated lubrication systems and cleaning robots exist and AI can schedule or control them, but manual cleaning with hoses, scrapers, and oil cans in varied environments remains largely human-performed.